World’s first AI Universe Simulator knows things it shouldn’t

 "It’s like teaching image recognition software with lots of pictures of cats and dogs, but then it’s able to recognize elephants."

Since we can’t travel billions of years back in time — not yet, anyways — one of the best ways to understand how our universe evolved is to create computer simulations of the process using what we do know about it.

Most of those simulations fall into one of two categories: slow and more accurate, or fast and less accurate. But now, an international team of researchers has built an AI that can quickly generate highly-accurate, three-dimensional simulations of the universe — even when they tweak parameters the system wasn’t trained on.

“It’s like teaching image recognition software with lots of pictures of cats and dogs, but then it’s able to recognize elephants,” researcher Shirley Ho said in a press release. “Nobody knows how it does this, and it’s a great mystery to be solved.”

Speedy System

The scientists detail how they created this universe simulator, which they’ve named the Deep Density Displacement Model (D3M), in a study published in the journal Proceedings of the National Academy of Sciences.

The goal was to teach D3M how to model the way gravity shapes the universe. To that end, they started by feeding the system 8,000 different gravity-focused simulations created by a highly accurate existing universe simulator.

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(Source: futurism.com; June 28, 2019; http://tinyurl.com/yxpbvqvt)
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